Clustered longitudinal data is often collected as repeated measurements on subjects over time arising in the clusters. Examples include longitudinal community intervention studies, or family studies with repeated measures on each member. Meanwhile,...
In this dissertation research, we aim to solve problems of two types of survival data, clustered survival data with potentially informative cluster size and sojourn time data. The methods for these two types of data are different. However, both...
Urbanization disrupts natural soil profiles and as watersheds are
urbanized, their surfaces become impervious and this will result in
reduction of infiltration. For this reason, many cities are facing problems
with treating runoff water. Best...
Longitudinal studies occupy an important role in scientific researches and clinical trials. When taking the analysis of longitudinal data, investigators are often confronted with missing data which will produce potential biases, even in...
In this dissertation, we study the performance evaluation of two automated warehouse material handling (MH) technologies - automated storage/retrieval system (AS/RS) and autonomous vehicle storage/retrieval system (AVS/RS). AS/RS is a traditional...
This work develops a method of estimating peak daily streamflow, Qpeak, for Kentucky streams using daily average streamflow, Qave, data from the United States Geological Survey's (USGS) National Water Information System (NWIS) website. The purpose...
Standard regularity assumptions for regression models are not satisfied in segmented regression models with an unknown change point, and consequently standard asymptotic results and inferential methods for confidence estimation are not applicable....
English language--Study and teaching; Language and languages--Study and teaching
Academic achievement of English language learners (ELLs), the fastest growing population in the U.S. schools, deserves greater attention. This non-experimental study investigated the unique contributions-above and beyond other individual difference...
Regression analysis is a statistical method used to relate a variable of interest, typically y (the dependent variable), to a set of independent variables, usually, X1, X2,...,Xn . The goal is to build a model that assists statisticians in...
Vehicles--Environmental aspects; Traffic flow--Environmental aspects; Motor vehicles--Motors--Exhaust gas
The purpose of this dissertation is to develop a methodology to estimate the temporal Environmental Traffic Capacity (ETC) for urban streets. The approach constitutes the main procedure of ETC calculation and an experimental process of developing...
Income distribution; Occupational training--Economic aspects; Academic achievement--Economic aspects
Employing a two-stage least-squares multiple regression technique using cross-sectional data from metropolitan statistical areas (MSAs) as the unit of analysis, this study is designed to detect the indirect effect of skill-biased technological...
This study explores four economic development theories – classical location theory, human capital theory, agglomeration economies theory and creative cities theory, and their effectiveness in explaining the spatial distribution of high tech...
Recent advances in high throughput methodologies offer researchers the ability to understand complex systems via high dimensional and multi-relational data. One example is the realm of molecular biology where disparate data (such as gene sequence,...
The revolution in information technology and the explosion in the use of computing devices in people's everyday activities has forever changed the perspective of the data mining and machine learning fields. The enormous amounts of easily...
A hyper basis function network (HyperBF) is a generalized radial basis function network (RBF) where the activation function is a radial function of a weighted distance. The local weighting of the distance accounts for the variation in local scaling...
Because of limitations in randomized controlled trials, medical researchers are often forced to rely upon studies of observational data. Confounding is a major difficulty encountered in such studies that can create considerable bias in estimates of...
Item response theory; Goodness-of-fit tests; Monte Carlo method
Item response theory (IRT) is expanding to diverse research settings, without accompanying access to easily implemented model fit methods. One simple model fit approach involves x2/df ratios. However, its utility is not known across several...
Parking garages--Automation; Parking garages--Design and construction
Automated vehicle storage/retrieval system (AVS/RS) technology is relatively new. It has been applied successfully in several European facilities in 1990s. AVS/RS is a flexible system that is a viable alternative to automated storage/retrieval...
Computer-assisted instruction--Planning; Universities and colleges--Technological innovations; Distance education
This study focused on the development and validation of a web-based survey instrument designed to measure faculty perceptions on the importance of 24 variables that contribute to the facilitation of online postsecondary course development. It...
This study focuses on the variation in structural response to synthetic ground motions derived from the latest attenuation models developed for the Central Eastern United States (CEUS) and used by the USGS to develop the latest edition (2008) of...
